{"title":"Valuing China’s Economic Impacts of Climate Change","authors":"Hongbo Duan, Deyu Yuan, Z. Cai, Shouyang Wang","doi":"10.2139/ssrn.3669663","DOIUrl":null,"url":null,"abstract":"There are still many uncertainties regarding the possible influences of global climate change in the mid-latitude regions, owing to rather limited research and lack of empirical evidence. This paper systematically evaluates the economic impacts of climate variation by constructing a 27-year panel dataset of 274 prefecture cities and 816 weather stations in China. Our results document some significant climate-economic relationships, with the increase of 1℃-temperature, 100mm-rainfall, and 1%-humidity associated with a 0.78% decrease, 0.86% increase and 1.34% decrease in output, respectively. Higher temperature damages are reflected in less-developed regions, while the positive impacts of rainfall mainly appear in more-developed regions. Using integrated assessment models, we project that the model-average climate damage of China may account for up to 4.23 percent of GDP by 2100, based on a nonlinear historical climate-economic interaction.","PeriodicalId":320822,"journal":{"name":"Development Economics: Agriculture","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Development Economics: Agriculture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3669663","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
There are still many uncertainties regarding the possible influences of global climate change in the mid-latitude regions, owing to rather limited research and lack of empirical evidence. This paper systematically evaluates the economic impacts of climate variation by constructing a 27-year panel dataset of 274 prefecture cities and 816 weather stations in China. Our results document some significant climate-economic relationships, with the increase of 1℃-temperature, 100mm-rainfall, and 1%-humidity associated with a 0.78% decrease, 0.86% increase and 1.34% decrease in output, respectively. Higher temperature damages are reflected in less-developed regions, while the positive impacts of rainfall mainly appear in more-developed regions. Using integrated assessment models, we project that the model-average climate damage of China may account for up to 4.23 percent of GDP by 2100, based on a nonlinear historical climate-economic interaction.